Daiki Suehiro

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 33

Top Topics

Convolutional Neural Network

Signature Verification

Negative Matrix Factorization

Top Venues

Pattern Recognit.

Publications

Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
Learning from Partial Label Proportions for Whole Slide Image Segmentation. CoRR (2024)
Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
Counting Network for Learning from Majority Label. ICASSP (2024)
Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro
No regret sample selection with noisy labels. Mach. Learn. 113 (3) (2024)
Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
Counting Network for Learning from Majority Label. CoRR (2024)
Xiaotong Ji, Daiki Suehiro, Seiichi Uchida
Paired contrastive feature for highly reliable offline signature verification. Pattern Recognit. 144 (2023)
Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro
Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization. CoRR (2023)
Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. ICCV (2023)
Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro
Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. ICASSP (2023)
Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. CoRR (2023)
Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro
Boosting for Bounding the Worst-class Error. CoRR (2023)
Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida
Optimal Rejection Function Meets Character Recognition Tasks. CoRR (2022)
Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida
Revealing Reliable Signatures by Learning Top-Rank Pairs. CoRR (2022)
Daiki Suehiro, Eiji Takimoto
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning. UAI (2022)
Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida
Revealing Reliable Signatures by Learning Top-Rank Pairs. DAS (2022)
Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. MICCAI (8) (2021)
Yan Zheng, Daiki Suehiro, Seiichi Uchida
Top-Rank Learning Robust to Outliers. ICONIP (3) (2021)
Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. CoRR (2021)
Yan Zheng, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida
Top-rank convolutional neural network and its application to medical image-based diagnosis. Pattern Recognit. 120 (2021)
Heon Song, Daiki Suehiro, Seiichi Uchida
Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound. WACV (2020)
N. Mitsuo, Seiichi Uchida, Daiki Suehiro
No Regret Sample Selection with Noisy Labels. CoRR (2020)
Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
Theory and Algorithms for Shapelet-based Multiple-Instance Learning. CoRR (2020)
Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
Theory and Algorithms for Shapelet-Based Multiple-Instance Learning. Neural Comput. 32 (8) (2020)
Heon Song, Daiki Suehiro, Seiichi Uchida
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. CoRR (2020)
Daiki Suehiro
An Application of Multiple-Instance Learning to Estimate Generalization Risk. CoRR (2019)
Takuro Karamatsu, Daiki Suehiro, Seiichi Uchida
Logo Design Analysis by Ranking. ICDAR (2019)
Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida
Optimal Rejection Function Meets Character Recognition Tasks. ACPR (2) (2019)
Yan Zheng, Yuchen Zheng, Wataru Ohyama, Daiki Suehiro, Seiichi Uchida
RankSVM for Offline Signature Verification. ICDAR (2019)
Daiki Suehiro, Kohei Hatano, Eiji Takimoto
Efficient Reformulation of 1-Norm Ranking SVM. IEICE Trans. Inf. Syst. (3) (2018)
Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers. CoRR (2018)
Xinyu Fu, Atsushi Shimada, Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro
Real-time learning analytics for C programming language courses. LAK (2017)
Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, Hiroaki Ogata
Revealing Hidden Impression Topics in Students' Journals Based on Nonnegative Matrix Factorization. ICALT (2017)
Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, Hiroaki Ogata
Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-Book Logs via Time-Series Analysis. ICALT (2017)
Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
Boosting the kernelized shapelets: Theory and algorithms for local features. CoRR (2017)
Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Kiyohito Nagano
Online Prediction under Submodular Constraints. ALT (2012)
Daiki Suehiro, Kohei Hatano, Eiji Takimoto
Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization. ALT (2011)